Nate Coraor

8.8k total citations · 2 hit papers
13 papers, 4.2k citations indexed

About

Nate Coraor is a scholar working on Information Systems and Management, Molecular Biology and Information Systems. According to data from OpenAlex, Nate Coraor has authored 13 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems and Management, 8 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Nate Coraor's work include Scientific Computing and Data Management (10 papers), Research Data Management Practices (5 papers) and Gene expression and cancer classification (4 papers). Nate Coraor is often cited by papers focused on Scientific Computing and Data Management (10 papers), Research Data Management Practices (5 papers) and Gene expression and cancer classification (4 papers). Nate Coraor collaborates with scholars based in United States, Germany and United Kingdom. Nate Coraor's co-authors include Anton Nekrutenko, James Taylor, Dannon Baker, Enis Afgan, John Chilton, Daniel Blankenberg, Björn Grüning, Marius van den Beek, Dave Bouvier and Martin Čech and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS Pathogens.

In The Last Decade

Nate Coraor

12 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

2018 2.4k citations Enis Afgan, Dannon Baker et al. Nucleic Acids Research profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

2016 1.5k citations Enis Afgan, Dannon Baker et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Nate Coraor

Since Specialization

Citations

This map shows the geographic impact of Nate Coraor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nate Coraor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nate Coraor more than expected).

Fields of papers citing papers by Nate Coraor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nate Coraor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nate Coraor. The network helps show where Nate Coraor may publish in the future.

Co-authorship network of co-authors of Nate Coraor

This figure shows the co-authorship network connecting the top 25 collaborators of Nate Coraor. A scholar is included among the top collaborators of Nate Coraor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nate Coraor. Nate Coraor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

#	Work	Indexed citations
1	Fast and accurate genome-wide predictions and structural modeling of protein–protein interactions using Galaxy 2023 ·BMC Bioinformatics ·Aysam Guerler, Dannon Baker, Marius van den Beek, Bjoern Gruening, Dave Bouvier, Nate Coraor, Stephen D. Shank, (unknown), Michael C. Schatz, Anton Nekrutenko	1
2	Training Infrastructure as a Service 2022 ·GigaScience ·Helena Rasche, Cameron Hyde, (unknown), Simon Gladman, Nate Coraor, Anthony Bretaudeau, Gianmauro Cuccuru, Wendi Bacon, Beatriz Serrano‐Solano, Jennifer Hillman‐Jackson, Saskia Hiltemann, Miaomiao Zhou, Björn Grüning, Andrew Stubbs	1
3	GYAN: Accelerating Bioinformatics Tools in Galaxy with GPU-Aware Computation Mapping 2021 ·FreiDok plus (Universitätsbibliothek Freiburg) ·(unknown), Jashwant Raj Gunasekaran, (unknown), Mahmut Kandemir, Anton Nekrutenko, Chita R. Das, Paul Medvedev, Björn Grüning, Nate Coraor, Nathan Roach, Enis Afgan	1
4	No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics 2020 ·PLoS Pathogens ·Dannon Baker, Marius van den Beek, Daniel Blankenberg, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Ignacio Eguinoa, Simon Gladman, Björn Grüning, (unknown), Delphine Larivière, Andrew Lonie, Sergei L. Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver	17
5	Predicting runtimes of bioinformatics tools based on historical data: five years of Galaxy usage 2019 ·Bioinformatics ·(unknown), Nate Coraor, Anton Nekrutenko	12
6	The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update breakdown → 2018 ·Nucleic Acids Research ·Enis Afgan, Dannon Baker, Bérénice Batut, Marius van den Beek, Dave Bouvier, Martin Čech, John Chilton, Dave Clements, Nate Coraor, Björn Grüning, Aysam Guerler, Jennifer Hillman‐Jackson, Saskia Hiltemann, Vahid Jalili, Helena Rasche, Nicola Soranzo, Jeremy Goecks, James Taylor, Anton Nekrutenko, Daniel Blankenberg	2447
7	Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers 2017 ·PLoS Computational Biology ·Björn Grüning, (unknown), Boris Rebolledo‐Jaramillo, Carl Eberhard, Torsten Houwaart, John Chilton, Nate Coraor, Rolf Backofen, James Taylor, Anton Nekrutenko	51
8	The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update breakdown → 2016 ·Nucleic Acids Research ·Enis Afgan, Dannon Baker, Marius van den Beek, Daniel Blankenberg, Dave Bouvier, Martin Čech, John Chilton, Dave Clements, Nate Coraor, Carl Eberhard, Björn Grüning, Aysam Guerler, Jennifer Hillman‐Jackson, Greg Von Kuster, (unknown), Nicola Soranzo, Nitesh Turaga, James Taylor, Anton Nekrutenko, Jeremy Goecks	1463
9	Enabling cloud bursting for life sciences within Galaxy 2015 ·Concurrency and Computation Practice and Experience ·Enis Afgan, Nate Coraor, John Chilton, Dannon Baker, James Taylor, (unknown)	6
10	Galaxy Cluster to Cloud - Genomics at Scale 2014 ·Enis Afgan, Dannon Baker, John Chilton, Nate Coraor, James Taylor	4
11	A sustainable national gateway for biological computation 2013 ·James Taylor, Anton Nekrutenko, Nate Coraor, Philip D. Blood, (unknown), Zhihui Zhang, (unknown), S. Sanielevici, (unknown), (unknown)	1
12	Integrating diverse databases into an unified analysis framework: a Galaxy approach 2011 ·Database ·Daniel Blankenberg, Nate Coraor, Gregory Von Kuster, James Taylor, Anton Nekrutenko, (unknown)	42
13	Galaxy CloudMan: delivering cloud compute clusters 2010 ·BMC Bioinformatics ·Enis Afgan, Dannon Baker, Nate Coraor, Brad Chapman, Anton Nekrutenko, James Taylor	124

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact